Conference Session

Engineering Management Division (EMD) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Renee Rottner, University of California, Santa Barbara

Tagged Divisions

Engineering Management Division (EMD)

Management Science and Engineering from Stanford University, and her Ph.D. in Management from UC Irvine. ©American Society for Engineering Education, 2024 Iterative Learning: Using AI-bots in Negotiation TrainingNegotiation skills are essential in management education and in engineering practice. Traditionalteaching methods, centered around role-playing activities. have often struggled to fully engagestudents or provide the personalized feedback necessary for mastering such a complex skill set.To addressing this pedagogical gap, I developed AdVentures with chatGPT [1] by leveragingartificial intelligence to create a dynamic, interactive learning experience that adapts to eachstudent's needs and performance

Conference Session

Engineering Management Division (EMD) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sakhi Aggrawal, Purdue University ; Paul J. Thomas

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

quantitative data.Concurrently, qualitative data was thematically analyzed to gain insights into usage andperceptions surrounding AI.Results: The study revealed a growing trend among project management professionals inleveraging AI tools for a variety of tasks, including project planning, task assignment, tracking,and crafting emails, reports, and presentations. A strong correlation was observed betweenfamiliarity with ChatGPT and its likely usage in project management tasks. While someparticipants found AI tools convenient and efficient, they were frustrated with potentialinaccuracies and the need for specific input prompts. Overall, industry professionalsdemonstrated the usage of AI in project management, with a notable emphasis on taskautomation

Conference Session

Engineering Management Division (EMD) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Raymond L. Smith III, East Carolina University; Henry Lester, University of Dayton

Tagged Divisions

Engineering Management Division (EMD)

GenerativeAdversarial Networks (GANs) by Ian Goodfellow, which set the stage for rapid growth ingenerative models like Variational Autoencoders (VAEs), transformers, and diffusion models,culminating in the creation of versatile foundation models and tools for various applications [5].Figure 1: The evolution timeline for generative AI technology [3], [4].At the heart of generative AI's evolution is the development of large language models (LLMs),such as ChatGPT by OpenAI, Bard by Google, and Bing Chat and Copilot by Microsoft. Thesemodels are trained on vast datasets, enabling them to understand and generate human-like textacross various languages and contexts. LLMs can perform a multitude of tasks, including writingessays, summarizing texts, translating